{"id":"W4406538658","doi":"10.1016/s0967-0653(98)84034-9","title":"10.1016/s0967-0653(98)84034-9","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"Environmental Monitoring and Data Management","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Indian ocean; Oceanography; Climatology; Geography; Geology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001384266,0.003144432,0.002080723,0.003229992,0.002813986,0.004501875,0.004017842,0.006889573,0.9906852],"category_scores_gemma":[0.002316889,0.001218928,0.00172354,0.003117413,0.002342275,0.007203705,0.003816708,0.003232188,0.9946887],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001281037,"about_ca_system_score_gemma":0.001200443,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005598997,"about_ca_topic_score_gemma":0.004643713,"domain_scores_codex":[0.9991869,0.00005364209,0.00007124105,0.0003083317,0.0002081594,0.000171646],"domain_scores_gemma":[0.9969048,0.0007620355,0.0001959431,0.0004216756,0.0007592232,0.0009561895],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000320829,0.000225986,0.0009143904,0.0005306264,0.00003806073,0.0002402758,0.0001300474,0.0004122512,0.00173215,0.005099647,0.434781,0.5555747],"study_design_scores_gemma":[0.00006009184,0.0001132905,0.0007108607,0.0003712331,0.00001628803,0.0003094335,0.0001311347,0.0001981784,0.0002712849,0.0005777843,0.9972129,0.00002741433],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0003681323,0.0002925302,0.0006580687,0.0003678305,0.0002524959,0.0001115929,0.0007661934,0.0010292,0.9961539],"genre_scores_gemma":[0.0004356105,0.0001504862,0.0003373109,0.0002196075,0.00005986424,0.00006069514,0.0003724338,0.0001938828,0.99817],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.009314835,"threshold_uncertainty_score":0.01328647,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006530704670368503,"score_gpt":0.1542663369757062,"score_spread":0.1477356323053376,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}